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stress_at_work_analysis
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Fix method params

ml_pipeline
Primoz 2023-02-06 11:21:17 +01:00
parent ef78f179cd
commit 08e81610a9
1 changed files with 3 additions and 2 deletions
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5
exploration/expl_features_groups_analysis.py
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@ -283,7 +283,7 @@ xs, y_recall, y_fscore, recall_std, fscore_std = sort_tuples_to_lists(sensor_gro
# %% [markdown]
# ### Visualize sensors groups F1 and recall scores
print(sensor_groups_importance_scores)
plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std, recall_std, fscore_std,
plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std,
title="Sequential addition of sensors and its F1, and recall scores")
# %%
@ -298,7 +298,8 @@ xs, y_recall, y_fscore, recall_std, fscore_std = sort_tuples_to_lists(best_senso
# %% [markdown]
# ### Visualize best sensor's F1 and recall scores
print(best_sensor_features_scores)
plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore)
plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std,
title="Best sensor addition it's features with F1 and recall scores")
# %%
# This section iterates over all sensor groups and investigates sequential feature importance feature-by-feature